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Design and rating of risk-contingent credit for balancing business and financial risks for Kenyan farmers

机译:为平衡肯尼亚农民的商业和金融风险而设计的风险或有风险信贷的设计和评级

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摘要

Weather-related agricultural risks and limited access to credit are serious impediments to agricultural productivity and growth in developing countries. This paper describes a novel insurance linked credit model piloted in Kenya, where insurance markets are effectively absent, and farmers do not borrow because of the risk of losing their collateral. One of the challenges in deigning bundled credit products, in the absence of traded securities, is the actuarial pricing and risk rating of the insurance and the loan product. We develop a rainfall linked risk-contingent credit that transfers drought risk related perils from borrower to lender via insurance mechanism that provide a balance between business and credit risks for smallholder farmers. We describe the methodology used to design and rating of a risk-contingent structured operating agricultural credit instrument using CHIRPS rainfall data from 1981-2016 in Kenya. We illustrate the use of Monte Carlo methods to risk modelling that can be integrated within the general insurance and credit rating framework. The innovative design and methodology presented in this paper are as important as the product delivery mechanism and will be of interest to specialists in development economics and agricultural finance.
机译:与天气有关的农业风险和获得信贷的机会有限,严重阻碍了发展中国家的农业生产力和增长。本文介绍了一种在肯尼亚试行的新型保险链接信用模型,该模型有效地缺乏保险市场,并且农民由于失去抵押品的风险而无法借款。在没有交易证券的情况下,设计捆绑信贷产品的挑战之一是保险和贷款产品的精算定价和风险评级。我们开发了一种降雨相关的风险或有信贷,该信贷通过保险机制将与干旱风险相关的风险从借款人转移到了贷方,为小农户提供了商业风险和信贷风险之间的平衡。我们使用1981-2016年肯尼亚的CHIRPS降雨数据,描述了用于设计和评估风险或有条件的结构化经营性农业信贷工具的方法。我们说明了使用蒙特卡洛方法进行风险建模的方法,该方法可以集成到一般保险和信用评级框架中。本文介绍的创新设计和方法与产品交付机制一样重要,并且将引起发展经济学和农业金融领域的专家的兴趣。

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